news
| Jul 2025 | Our work “Accurate and Efficient Low-Rank Model Merging in Core Space” has been accepted for publication at NeurIPS 2025. |
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| Jul 2025 | Our work “Modular Embedding Recomposition for Incremental Learning” has been accepted for publication at BMVC 2025. |
| Jul 2025 | I participated in the 19th International Computer Vision Summer School (ICVSS 2025) held in Scicli, Italy |
| Apr 2025 | I started an internship at CVC in Barcelona, Spain, under the supervision of Joost van de Weijer. |
| Jan 2025 | Our paper “Monocular Per-Object Distance Estimation with Masked Object Modeling” has been accepted for publication in CVIU (2025). |
| Nov 2024 | I attended the BMVC2024 conference in Glasgow, United Kingdom. |
| Oct 2024 | I have been recognized as an outstanding reviewer for the BMVC 2024 conference. |
| Oct 2024 | I attended the ECCV2024 conference in Milan, Italy. |
| Sep 2024 | Our paper “Is Multiple Object Tracking a Matter of Specialization?“ has been accepted at NeurIPS 2024. |
| Jul 2024 | Our paper “CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning” has been accepted as an oral presentation at BMVC2024. |
| Jun 2024 | Our paper “Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning” has been accepted as an oral presentation at ICPR 2024. |
| Oct 2023 | I attended the ICCV2023 conference in Paris, France. |
| Sep 2023 | I participated in the ELLIS Summer School on Large-Scale AI for Research and Industry in Modena, Italy. |
| Sep 2023 | I participated in the VISMAC 23 Summer School in Padova, Italy. |
| Jul 2023 | Our paper TrackFlow: Multi-Object tracking with Normalizing Flows has been accepted at ICCV 2023. |
| Nov 2022 | I started my Ph.D. in Information and Communication Technologies (ICT) at AImageLab, with topic “AI techniques for time series analysis and prediction exploiting structured information”. (Granted by Ammagamma) |
| Jan 2022 | I joined the AImageLab group at UNIMORE in Italy as a Research Fellow. |
| Aug 0202 | Our paper Consistency-based Self-supervised Learning for Temporal Anomaly Localization has been accepted at ECCV2022 (Workshops). |